Part 1

Please watch the videos in Videos: introduction to JMP Pro to learn the very basics of JMP Pro. This takes about 25 minutes.

Part 2

Recall the titanic.csv dataset: each row of the data corresponds to a passenger; each column is described below:

  • survival:  Survival (0 = No, 1 = Yes)
  • pclass:  Ticket class (1 = 1st, 2 = 2nd, 3 = 3rd). This is a A proxy for socio-economic status (SES): 1st = Upper, 2nd = Middle, 3rd = Lower.
  • sex: gender
  • Age:  Age in years (Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5)
  • sibsp:  # of siblings / spouses aboard the Titanic (The dataset defines family relations in this way: Sibling = brother, sister, stepbrother, stepsister; Spouse = husband, wife)
  • parch: # of parents / children aboard the Titanic (Some children traveled only with a nanny, therefore parch=0 for them)
  • ticket: Ticket number
  • fare:  Passenger fare
  • cabin:  Cabin number
  • embarked:  Port of Embarkation (C = Cherbourg, Q = Queenstown, S = Southampton)

Files to submit: 

  • A JMP data file:  .jmp
  • Do not forget to save a script for each of the steps below (as shown in the last video of Videos: introduction to JMP Pro). Submit the resulting JMP file to Canvas.

Questions:

  1. Import the Titanic dataset to a JMP table.
  2. Change the data type of the following variables:
    • PassengerId to nominal
    • Pclass to ordinal
  3. Click on ‘Distribution’ button above the table, and create a histogram and boxplot for the variables ‘Fare’ and ‘Age’.
  4. Using the Graph Builder, create a bar chart that shows the number of survivors per gender:
    • Put the ‘Sex’ variable in x-axis and ‘Survived’ variable in y-axis;
    • choose bar chart;
    • use SUM as summary statistic;
    • label the bars with percentage of the total.
  5. Create a pie chart of the variable ‘Pclass’. Show percentage of each ticket class.
  6. Tabulate* the number of passengers who survived the Titanic by their gender.
  7. Tabulate* the average fare for each Ticket class.

* By tabulate, I mean creating a pivot table.